Adrenocortical carcinoma (ACC) is a rare and aggressive malignancy characterised by diagnostic challenges, high recurrence rates, and poor prognosis. This study explored the role microRNA (miRNA) processing genes in ACC, and their potential role as diagnostic and prognostic biomarkers. We analysed the mRNA expression levels of miRNA machinery components (DROSHA, DGCR8, XPO5, RAN, DICER, TARBP2 and AGO2) utilising mRNA-Seq data from The Cancer Genome Atlas (TCGA) and The Genotype-Tissue Expression (GTEx) projects. Additionally, protein levels were quantified in tissue samples from the Kolling Institute of Medical Researchs tumour bank. Our results demonstrated that among all miRNA processing components, AGO2 exhibited significant overexpression in ACC compared to the normal adrenal cortex (NAC) and benign adrenal adenoma (AA) (p < 0.001). Kaplan–Meier survival analysis indicated that higher AGO2 expression correlated with significantly worse overall survival in ACC patients (HR 7.07, p < 0.001). Among 32 cancer types in TCGA, the prognostic significance of AGO2 was most prominent in ACC. This study is the first to report AGO2s potential as a diagnostic and prognostic biomarker in ACC, emphasising its significance in ACC pathogenesis and potential application as a non-invasive liquid biopsy biomarker.
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